iguptashubham
I'm a data scientist & AI/ML Engineer deeply passionate about uncovering the hidden narratives within data.
India
Pinned Repositories
2000-appstore-games-analysis
Most columns are fully populated with 2,000 non-null entries. However, the 'price' column has 1942 non-null entries, indicating some games might be free or their pricing data is missing. The 'releaseNotes' column has 1969 non-null entries, suggesting some games might not have release notes available.
amazon-audible-eda
customer-intent-prediction
Logistic regression is a binary classification technique used to predict outcomes like customer churn or purchase intent. It models the probability of an event happening (e.g., a customer making a purchase) based on input features.
Flights_data_exploration
Fight data exploration analysis. This is official flight data (consisting year = (2018-2022). This EDa done by Shubham Gupta - Data Scientist
futureflow
this is fictional city "FutureFlow" Traffic exploration dashboard. this exploration done by python library and dashboards is designed by streamlit. working this dataset is really amazing. it give me some sort of hint that how future should be.
iguptashubham
Config files for my GitHub profile.
interactive_dashboard
This is python interactive dashboard / web app built with the help of streamlit and plotly, data manipulation done by pandas library. this is my project. i hope you will like it. all code are written i very simple format.
laptop-price-prediction
metro-operations-optimization
Metro Operations Optimization refers to the systematic process of enhancing the efficiency, reliability, and effectiveness of Metro services through various data-driven techniques and operational adjustments.
online-retail-sales
This Power BI dashboard, designed for marketing strategists, analyzes sales trends and customer behavior. It provides key insights empowering them to identify sales opportunities and optimize marketing campaigns, ultimately boosting business sales.
iguptashubham's Repositories
iguptashubham/metro-operations-optimization
Metro Operations Optimization refers to the systematic process of enhancing the efficiency, reliability, and effectiveness of Metro services through various data-driven techniques and operational adjustments.
iguptashubham/online-retail-sales
This Power BI dashboard, designed for marketing strategists, analyzes sales trends and customer behavior. It provides key insights empowering them to identify sales opportunities and optimize marketing campaigns, ultimately boosting business sales.
iguptashubham/customer-intent-prediction
Logistic regression is a binary classification technique used to predict outcomes like customer churn or purchase intent. It models the probability of an event happening (e.g., a customer making a purchase) based on input features.
iguptashubham/futureflow
this is fictional city "FutureFlow" Traffic exploration dashboard. this exploration done by python library and dashboards is designed by streamlit. working this dataset is really amazing. it give me some sort of hint that how future should be.
iguptashubham/iguptashubham
Config files for my GitHub profile.
iguptashubham/laptop-price-prediction
iguptashubham/ott-churn-eda-ml
Understanding why customers discontinue their subscriptions will be crucial in optimizing the user experience, reducing churn, and maximizing customer lifetime value. By using Machine learning model to predict the Customer Churn.
iguptashubham/pizzahut-analysis-sql
best dataset for data analysis. Pizzahut data analysis done by Shubham Gupta in MySql. This dataset is provided by friend of mine intern at pizzahut. In pizzahut, they used this dataset to train and ask question. This data does not reveal anything about the pizzahut. It is safe to share. data
iguptashubham/shubhamgupta.github.io
iguptashubham/student-performance
iguptashubham/superstore
iguptashubham/walmart-eda
Imagine diving into the fascinating world of Walmart with just a few lines of code! This project lets you do that using MySQL, a powerful tool for data analysts. You can clean up messy data like a detective, uncovering hidden patterns and trends. Data scientists can take it further,.
iguptashubham/automl-app
Automated Machine Learning System for Predictive Analytics is designed to streamline the entire process of creating and deploying predictive models.
iguptashubham/brain_tumor_detection
iguptashubham/ChatRAG-API
Welcome to the Custom Trained Gemini Flash (CTGF) project! This project aims to create a sophisticated conversational AI application that integrates the Gemini Flash large language model using FastAPI and Streamlit.
iguptashubham/chatwithwebsite
AI RAG Chat with Website is a cutting-edge tool designed to enhance user interactions. It combines retrieval-based methods with generative AI models to provide informative and engaging responses to user queries. This tool acts like a supercharged search engine, retrieving relevant info.
iguptashubham/crop-recommendation-mlflow-ec2
Crop Recommendation Machine learning model built with mlflow and deployed on amazon ec2 .
iguptashubham/crude-oil-forecasting
Crude oil prices forecasting by SARIMAX. Time series forecasting project by shubham gupta
iguptashubham/customer-churn-prediction
Customer Churn Prediction machine learning model by stochastic gradient descent classifier by scikit learn.
iguptashubham/disease_prediction_bert
Disease prediction by Fine tuning BERT on patient data
iguptashubham/dynamic-pricing-xgboost
iguptashubham/election2024-exploration
If you are highly active on Facebook and Instagram, you must have seen ads based on elections by any of the political parties, especially BJP and INC. All the parties in India usually spend a lot of money on election campaigns.
iguptashubham/ev-market-exploration
So, market size analysis is a crucial aspect of market research that determines the potential sales volume within a given market
iguptashubham/machine-learning-mlflow
iguptashubham/minst-ann
iguptashubham/portfolio
iguptashubham/RAG-Gemini-linkchatbot
A RAG-powered chat application using Gemini Pro, FastAPI, and Streamlit. This tool enhances conversations by integrating link content, providing a seamless backend with FastAPI, and an interactive frontend with Streamlit.
iguptashubham/satellite_landscape_classifier_system
Satellite Landscape classifier system by MobileNetV2.
iguptashubham/sign-language-detection
iguptashubham/yelp_restuarant_exploration
The exploration of U.S. restaurants was conducted using a real-life dataset provided by Yelp. Yelp Inc., an American company, develops the Yelp.com website and the Yelp mobile app. These platforms allow users to publish crowd-sourced reviews about various businesses.